{"task": {"agent_timeout": 3600, "task": "30", "verifier_timeout": 600, "instruction": "You are given a deep information synthesis question that requires gathering\ndata from multiple web sources and producing a structured JSON answer.\n\nAs a quantitative analyst, I am modeling a portfolio of stocks using Yahoo Finance data.\nFor Apple, Microsoft, Nvidia, and ASML, use Adjusted Close prices between January 1, 2018, and December 31, 2023 to calculate the annualized portfolio volatility (using daily log-returns).\nThe portfolio weights are 30% in Apple, 40% in Microsoft, 20% in Nvidia, and 10% in ASML.\n\nYour answer should be a JSON object with a single key \"Volatility\", and the value should represent the annualized volatility in percent (%), rounded to one decimal place: {\"Volatility\": float}.\n\nResearch this question thoroughly by browsing the web. Find relevant data\nfrom official sources (government databases, statistical offices,\ninternational organizations). Synthesize the information into a single\nJSON answer.\n\nWrite your final answer as a valid JSON dictionary to `/app/answer.json`.\nThe answer should be a JSON object matching the format specified in the\nquestion above (typically string keys with numeric values).\n\nExample answer format:\n```json\n{\"Country A\": 1.23, \"Country B\": 4.56}\n```\n\n**Important:**\n- You should ONLY interact with the environment provided to you AND NEVER ASK FOR HUMAN HELP.\n- Show your work and reasoning before writing the final answer.\n- `/app/answer.json` should contain ONLY the valid JSON dictionary \u2014 no explanation, no markdown fencing.\n", "memory": "", "runnable": false, "difficulty": "difficult", "language": "", "cpus": "", "instruction_truncated": false, "category": "information-synthesis", "compose": false, "has_solution": true, "oracle": null, "docker_image": "", "taskset": "deepsynth", "tags": ["deepsynth", "information-synthesis"]}, "runs": []}